Data Engineer / MLOps Specialist
Vurke Inc
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Role Summary Build data pipelines and model-ops infrastructure that keep AI workloads reliable, compliant, and cost-efficient.
Key Responsibilities
Ingest, transform, and version datasets with Databricks or Snowflake.
Create CI/CD pipelines for ML using GitHub Actions and Terraform.
Monitor model drift, latency, and resource usage with Prometheus & Grafana.
Must-Have Qualifications
4+ years in data engineering or DevOps.
Kubernetes, Docker, and GPU orchestration skills.
Proficiency in Spark or Flink.
Preferred
Exposure to Ray Serve, KServe, or Sagemaker.
Certifications: Azure Data Engineer, CKAD.
Engagement : Full-time contract, 612 months, remote with overlap to GMT+4.
Job Types: Full-time, Permanent